diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index 0041cae30..d80963d3d 100644
Binary files a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp and b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp differ
diff --git a/egs/aishell/ASR/conformer_ctc/transformer.py b/egs/aishell/ASR/conformer_ctc/transformer.py
index d70abb6d2..6f74d7265 100644
--- a/egs/aishell/ASR/conformer_ctc/transformer.py
+++ b/egs/aishell/ASR/conformer_ctc/transformer.py
@@ -380,7 +380,7 @@ class Transformer(nn.Module):
         return nll
 
 
-class TransformerEncoder(nn.TransformerEncoder):
+class TransfEncoder(nn.TransformerEncoder):
     r"""TransformerEncoder is a stack of N encoder layers. Users can build the
     BERT(https://arxiv.org/abs/1810.04805) model with corresponding parameters.
 
@@ -401,7 +401,7 @@ class TransformerEncoder(nn.TransformerEncoder):
     __constants__ = ['norm']
 
     def __init__(self, encoder_layer, num_layers, norm=None, enable_nested_tensor=True, mask_check=True):
-        super(TransformerEncoder, self).__init__()
+        super(TransfEncoder, self).__init__()
         self.layers = _get_clones(encoder_layer, num_layers)
         self.num_layers = num_layers
         self.norm = norm